Latest Articles for Finance

HP-CDE accurately models event sequences using controlled differential equations.

AI is changing how asset management works, from trading to risk management.

A look into how reductions aid in analyzing Markov Decision Processes effectively.

Investigating the behavior of random walks under dynamic conditions.

Learn how Thompson Sampling improves choices in uncertain environments.

Examining how bacteria adapt their growth tactics based on environmental changes.

A method to analyze imperfect data without bias.

This framework improves anomaly detection in dynamic graphs using topological data analysis.

A methodical approach to success in China's unique mutual fund landscape.

Using quantum computing to evaluate financial risks in energy economics.

Innovative predictive models enhance investment strategies by integrating risk measures.

A look into varentropy and its weighted forms for better uncertainty assessment.

This paper examines how monetary policies shape income and wealth disparities in Euro area countries.

Explore beta distribution's properties and methods for practical applications in various fields.

Addressing myths to build trust in machine learning models.

Exploring optimal transport methods for resource allocation in various fields.

A new method enhances accuracy in predicting cryptocurrency price movements.

Examining smoothness in solutions of partial differential equations and their applications.

A new method enhances numerical solutions for fractional differential equations.

Slow kill improves variable selection for big data analysis, enhancing efficiency and accuracy.

A look into how GCMMs improve data analysis for complex relationships.

A look into degenerate and singular parabolic equations and their implications.

This article discusses a method for classifying companies using historical stock returns.

Regime-switching models help analyze systems affected by abrupt changes.

Learn how LPM improves sampling accuracy in research and analysis.

A look at negative association and correlation in random variables.

A method for extracting causal relationships from news articles for better decision-making.

A look at how travel time derivatives can manage transportation risks.

A new method enhances time series classification by focusing on the order of labels.

A look at Kolmogorov equations and their significance in understanding complex systems.

A framework utilizing few labeled examples for effective graph anomaly detection.

This article explains how IRDs clarify predictions from complex machine learning models.

Explore the essential features and ancestry in weighted particle systems.

BELLA offers clear insights into predictions from complex machine learning models.

Algorithms improve decision-making in random value scenarios.

Introducing a model that effectively handles positive and negative integer time series data.

XuanYuan 2.0 is the largest Chinese chat model focused on finance.

Learn how change point detection enhances time series data analysis.

A new method helps lenders predict losses more accurately in credit risk.

Discover how technology is changing auditing efficiency and accuracy.